Packaged/SaaS Application Engineer

Project Role : Packaged/SaaS Application Engineer Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance. Must have skills : Large Language Models (LLMs) Good to have skills : Kubernetes, Generative AI Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Packaged or Software as a Service Application Engineer, a typical day involves configuring and supporting packaged or SaaS applications to meet evolving business requirements. This includes adapting application features, managing software releases, and ensuring the overall stability and performance of the systems. The role requires working with various tools, application programming interfaces, and low-code platforms to deliver solutions that align with organizational goals while maintaining compatibility across different environments. Collaboration with cross-functional teams to troubleshoot and optimize application functionality is also a key part of daily activities Important exp: . LLM Engineers post-training – 3–7 years overall experience Experience post-training open-source LLMs/SLMs using SFT, LoRA/QLoRA, Reinforcement Learning, preference optimization or distillation Strong PyTorch/Transformers/TRL fundamentals Experience with synthetic data, evaluation harnesses and domain-specific benchmarks Interest in agentic coding, tool-use and domain-specialized models . Roles & Responsibilities: - Expected to perform independently and become a subject matter expert. - Required active participation and contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with stakeholders to gather requirements and translate them into effective application configurations. - Monitor application performance and proactively identify areas for improvement to enhance user experience. - Document configuration changes and maintain clear records to support knowledge sharing within the team. - Assist junior team members by providing guidance and sharing best practices to foster professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs). - Good To Have Skills: Experience with Generative AI and Kubernetes. - Strong understanding of application integration techniques and API management. - Experience working with low-code or no-code platforms to customize and extend packaged applications. - Ability to troubleshoot complex system issues and implement effective solutions. - Familiarity with software release management and version control processes. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models (LLMs). - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.